Data Scientist – Crude & Products Trading

Key Skills

Data pipelines, Django, ETL frameworks, Machine learning techniques, Operations Analytics, Python Programming, SQL, Streamlit, Tableau

Job Description

We are recruiting an experienced data scientist to develop and support decision support and optimisation analytics in our Global Crude and Products Trading businesses. The candidate will work closely with our traders, research analysts and data sicentists to develop and manage a number of analytical tools to improve decision making on the trading desks. These tools will include applications of computational statistics, machine learning, operations research and classical AI optimisation methods. The objective is to increase the profitability and efficiency of our trading businesses.

Knowledge Skills and Abilities, Key Responsibilities:

• Experience working as a data scientist, quant, research analyst, or trader in a commodity trading environment.
• A Masters or PhD in Applied Mathematics/Statistics, Computer Science, Operations Research, Mathematical Finance or other relevant field.
• Excellent Python and SQL skills.
• Practical experience developing and deploying machine learning and statistical models in a business setting.
• Ability to work productively with commercial stakeholders.

The following knowledge, skills and abilities are desirable for this role:

• Experience developing and deploying optimisation applications in a business setting (e.g. linear optimisation, vehicle routing)
• Data engineering skills such as ETL pipeline development.
• AWS experience and certifications.
• Experience with Tableau, Streamlit, or Django.

Key Responsibilities

• Development and maintenance of models, analytics applications for Crude and Products trading desks.

Key Relationships and Department Overview:

• Report to Lead Energy Data Scientist (Geneva).
• Work closely with the global crude and product business heads.
• Work closely with global head of crude and products research and research analyst team.
• Work closely with data scientists, data engineers and devops engineers in the Data Science and Engineering Team.

Competencies

• Ability to communicate technical issues effectively with a diverse set of stakeholders across business lines and technology.
• Ability to creatively apply data and analytics technology to solve commercial problems.